New nano-scale chip boosts AI and quantum technology

Researchers develop a circuit that generates, directs, and reads light-based information on a single chip, paving the way for faster and more efficient computing.

Generic image of a nano-scale integrated circuit.
IA

Generic image of a nano-scale integrated circuit.

A team from Monash University has created a nano-scale circuit that controls light signals, paving the way for future faster and more efficient quantum and artificial intelligence technologies.

Researchers from Monash University in Australia have unveiled a nano-scale hybrid optoelectronic circuit capable of generating, directing, and reading light-based information all within a single chip. This breakthrough, published in the journal Nature Photonics, could be fundamental for the development of next-generation quantum and artificial intelligence technologies.
The technology is based on "valleytronics," an emerging field that leverages a quantum property of materials known as "valley" to encode and process information differently from conventional electronics. The new device integrates the generation, guiding, and detection of special light signals, overcoming a major hurdle encountered previously.
One of the most notable aspects of this circuit is its operation at room temperature, a crucial feature as many quantum platforms require extreme cooling, limiting their application outside of laboratories. The system utilizes two-dimensional semiconductor materials and nanostructures designed to control light at microscopic scales.
In the experimental demonstration, researchers succeeded not only in emitting or detecting light but also in simultaneously encoding and processing two distinct images with the same device. This capability suggests more sophisticated control of information flows and opens the door to compact and programmable optical processing.
The new circuit has the potential to strongly impact fields such as quantum computing, advanced imaging, optical communications, and the development of faster and more energy-efficient processing systems. "This is a significant step towards scalable chip-based technologies that use light instead of electricity to process information," stated Dr. Haoran Ren, one of the study's authors.